{ "openapi": "3.0.1", "info": { "title": "Scout — Lead Enrichment + OSINT", "description": "Email finder + lead enrichment + OSINT from public sources. Pass any fragment — name, email, or domain — get a verified dossier: 700+ identity sites, SMTP-validated emails, document mining, sanctions screen, domain→team discovery. $0.05 person, $0.15 domain. No API keys", "version": "0.3", "x-build-id": "bMZN2qMk3JfybTQwR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/logical_vivacity~scout/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-logical_vivacity-scout", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/logical_vivacity~scout/runs": { "post": { "operationId": "runs-sync-logical_vivacity-scout", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/logical_vivacity~scout/run-sync": { "post": { "operationId": "run-sync-logical_vivacity-scout", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "strategy": { "title": "Strategy", "enum": [ "quick_verify", "enrich_person", "enrich_org", "compliance", "creator_research", "deep_dive", "prospecting", "recruiter", "due_diligence", "vendor_dd", "competitive_research", "hiring_target", "org_compliance" ], "type": "string", "description": "What you're trying to accomplish. Six canonical strategies cover the common use cases; legacy names (prospecting, recruiter, vendor_dd, competitive_research, hiring_target, due_diligence, org_compliance) still work as aliases that map to a canonical strategy with the right overlay.", "default": "enrich_person" }, "effort": { "title": "Effort (1-3)", "minimum": 1, "maximum": 3, "type": "integer", "description": "Quality vs. speed dial within the strategy. 1=fast (~30s, identity-first), 2=standard (~120s, full enrichment), 3=thorough (~200s, expensive sources + bigger team-spawn cap). Per-record billing is identical at every level.", "default": 2 }, "passes": { "title": "Orchestration passes (advanced)", "minimum": 1, "maximum": 4, "type": "integer", "description": "Override the strategy's default pass count. A pass = one full sweep of every eligible enricher. Late-arriving evidence in pass N can unlock new enrichers in pass N+1 (e.g. a homepage scrape reveals a GitHub URL → next pass runs the GitHub stack). Most runs converge in 2; raise to 3-4 only when chasing deeply chained evidence. Leave blank to use the strategy default (quick_verify=1, most=2, deep_dive=3)." }, "outputFormat": { "title": "Output format", "enum": [ "json", "md", "both" ], "type": "string", "description": "How the dossier is shaped in the dataset record. `json` returns the structured Dossier (per-field verdict + evidences). `md` returns a human-readable markdown dossier under `markdown` — drop directly into an LLM prompt without parsing JSON. `both` includes both fields. Pick `md` when feeding Scout's output into AI agents (Claude, GPT) for synthesis / outreach copy / qualification.", "default": "json" }, "full_name": { "title": "Full name", "type": "string", "description": "Person's full name. Single most useful anchor on its own." }, "email": { "title": "Email", "type": "string", "description": "Email address. Auto-validated, breach-checked, MX + SMTP verified." }, "phone": { "title": "Phone", "type": "string", "description": "Phone number in any format — auto-normalised to E.164." }, "first_name": { "title": "First name", "type": "string", "description": "Optional split — supply if you only have parts." }, "last_name": { "title": "Last name", "type": "string", "description": "Optional split — supply if you only have parts." }, "title": { "title": "Job title", "type": "string", "description": "The person's title or role." }, "location": { "title": "Location", "type": "string", "description": "City, state, country — used for disambiguation." }, "linkedin_url": { "title": "LinkedIn URL", "type": "string", "description": "Person's LinkedIn profile URL." }, "github_username": { "title": "GitHub username", "type": "string", "description": "GitHub handle (with or without leading @)." }, "twitter_handle": { "title": "Twitter / X handle", "type": "string", "description": "X (Twitter) handle." }, "company_name": { "title": "Employer name", "type": "string", "description": "Person's employer (or, for org strategies, the organization name)." }, "domain": { "title": "Domain", "type": "string", "description": "Company website domain. For org strategies (vendor_dd / competitive_research / org_compliance / hiring_target), this is the primary anchor." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy is strongly recommended — several upstream sources rate-limit single IPs.", "default": { "useApifyProxy": true } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } }